Frequency- and temperature-dependent dynamic shear modulus and phase angle prediction models based on existing asphalt binder viscosity data using Artificial Neural Network (ANN)-Reference-Cited by-同舟云学术

Frequency- and temperature-dependent dynamic shear modulus and phase angle prediction models based on existing asphalt binder viscosity data using Artificial Neural Network (ANN)

Published:2024-02 Issue: Volume:414 Page:134772
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Acharjee Prashanta Kumar,Souliman Mena I.,Khalifah Rami^ORCID,Elwardany Michael^ORCID

Publisher

Elsevier BV

Reference23 articles.

1. I. Applied Research Associates, Guide for Mechanistic-empirical Design of New and Rehabilitated Pavement Structures. NCHRP 1–37A, 2004.

2. J. Bari, Investigation of the rheological properties of typical asphalt binders used in Arizona by A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science, 2001.

3. E.H. Cox, W.P. and Merz, Correlation of dynamic and steady flow viscosities, 1958. https://doi.org/10.1515/arh-2001–0008.

4. A property of Bessel functions and its application to the theory of two rheometers;Markovitz;J. Appl. Phys.,1952

5. The Cox–Merz rule extended: a rheological model for concentrated suspensions and other materials with a yield stress;Doraiswamy;J. Rheol. (N. Y. N. Y),1991

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using fuzzy logic based-modeling and simulated annealing approaches to optimize the hardness distribution of 2024 aluminum alloy during precipitation hardening heat treatment cycles;Journal of Alloys and Metallurgical Systems;2024-09

2. Enhancing bridge damage assessment: Adaptive cell and deep learning approaches in time-series analysis;Construction and Building Materials;2024-08